Pablo Ribalta Lorenzo

Artificial Intelligence · 2017–2023

A researcher in the Science corpus: 2 papers; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 26 citations into it
• Computer Vision and Pattern Recognition — 16 citations into it
• Optimization & Training — 12 citations into it
• Representation & Self-Supervised Learning — 5 citations into it

Whom Pablo Ribalta Lorenzo trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Alex Krizhevsky
2. Diederik P. Kingma
3. James Bergstra
4. Yoshua Bengio
5. Geoffrey E. Hinton
6. Ilya Loshchilov
7. Hugo Larochelle
8. Jasper Snoek
9. Jimmy Ba
10. Frank Hutter

Who trusts Pablo Ribalta Lorenzo overall

1. Tong Yu
2. Li Yang
3. Tobias Hinz
4. Quanming Yao
5. Abdallah Shami
6. Hong Zhu

Papers from Pablo Ribalta Lorenzo's perspective

Ordered by how strongly the researchers Pablo Ribalta Lorenzo trusts endorse each paper. Same corpus, a different order for every researcher.

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Learning Multiple Layers of Features from Tiny Images
5. Gradient-based learning applied to document recognition
6. Attention is All you Need (Neural Information Processing Systems)
7. ImageNet: A large-scale hierarchical image database
8. Long Short-Term Memory
9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
10. Going deeper with convolutions

Their papers

• OpenFold: retraining AlphaFold2 yields new insights into its learning mechanisms and capacity for generalization (2023) — 435 citations
• Particle swarm optimization for hyper-parameter selection in deep neural networks (2017) — 266 citations